Episodic memory in AI agents poses risks that should be studied and mitigated

• URL: http://arxiv.org/abs/2501.11739v2
• Date: Wed, 22 Jan 2025 15:09:02 GMT
• Title: Episodic memory in AI agents poses risks that should be studied and mitigated
• Authors: Chad DeChant,
• Abstract summary: Most current AI models have little ability to store and later retrieve a record or representation of what they do. In human cognition, episodic memories play an important role in both recall of the past as well as planning for the future. Researchers have begun directing more attention to developing memory abilities in AI models.
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• Abstract: Most current AI models have little ability to store and later retrieve a record or representation of what they do. In human cognition, episodic memories play an important role in both recall of the past as well as planning for the future. The ability to form and use episodic memories would similarly enable a broad range of improved capabilities in an AI agent that interacts with and takes actions in the world. Researchers have begun directing more attention to developing memory abilities in AI models. It is therefore likely that models with such capability will be become widespread in the near future. This could in some ways contribute to making such AI agents safer by enabling users to better monitor, understand, and control their actions. However, as a new capability with wide applications, we argue that it will also introduce significant new risks that researchers should begin to study and address. We outline these risks and benefits and propose four principles to guide the development of episodic memory capabilities so that these will enhance, rather than undermine, the effort to keep AI safe and trustworthy.

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